Barplot in seaborn with several columns-CodePudding

I have the following code:

import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt

df = pd.read_csv("https://raw.githubusercontent.com/norhther/datasets/main/ccaa_vacunas.csv", decimal = ",", thousands = ".")

df2 = df.dropna()

df2.columns = df2.columns.str.replace(' ', '_')
df2.columns = df2.columns.str.replace("-", "_")
    
mask = (df2["CCAA"] != "España") & (df2["CCAA"] != "Fuerzas Armadas")

sns.barplot(y = "CCAA", x = "Porcentaje_de_dosis_administradas_por_100_habitantes", data = df2[mask])

I would like to plot in one axis the variable CCAA and on the other, several bars for each CCAA: Dosis_entregadas_Pfizer, Dosis_entregadas_Moderna, Dosis_entregadas_AstraZeneca, Dosis_entregadas_Janssen. However, I don't know how to approach this.

CodePudding user response：

You could use melt to convert the desired columns to

PS: df_long looks like:

            CCAA                Fabricante      Dosis
0      Andalucía   Dosis entregadas Pfizer  1653300.0
1         Aragón   Dosis entregadas Pfizer   332595.0
2       Asturias   Dosis entregadas Pfizer   319145.0
3       Baleares   Dosis entregadas Pfizer   184050.0
4       Canarias   Dosis entregadas Pfizer   362670.0
          ...                       ...        ...
9267      Murcia  Dosis entregadas Janssen    68300.0
9268     Navarra  Dosis entregadas Janssen    23750.0
9269  País Vasco  Dosis entregadas Janssen   101300.0
9270       Ceuta  Dosis entregadas Janssen     4150.0
9271     Melilla  Dosis entregadas Janssen     5750.0